Advanced machine learning techniques and business applications; backprop; convolutional and recurrent neural networks; embedding and representation learning. variational autoencoders; generative adversarial network; deep reinforcement learning. Course Information: Extensive computer use required. Prerequisite(s): IDS 572 and familiarity with programming in Python.